Job Description
Join QuantumLeap Labs to architect the future of artificial intelligence by 2026. We're pioneering next-gen quantum-AI hybrid systems that will revolutionize industries worldwide. This is your chance to work at the intersection of quantum computing and machine learning in a culture that celebrates bold innovation.
Our San Francisco hub offers state-of-the-art facilities, unlimited research budget, and direct collaboration with Nobel laureates. We provide comprehensive benefits including equity, flexible remote options, and dedicated 'innovation time' for personal projects.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for 2026-era computational challenges
- Lead breakthrough research in quantum machine learning and neural network optimization
- Develop scalable frameworks for quantum-resistant cryptography systems
- Collaborate with hardware teams to co-design quantum-compatible AI architectures
- Publish peer-reviewed research and present at top-tier conferences
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Computer Science, Physics, or related field with 3+ years research experience
- Expertise in quantum algorithms, tensor networks, or quantum error correction
- Proficiency in Python, TensorFlow/PyTorch, and quantum frameworks (Qiskit, Cirq)
- Published record in top-tier AI/quantum journals (NeurIPS, Nature Quantum)
- Demonstrated ability to translate theoretical research into practical implementations
- Experience with high-performance computing and distributed systems
- Passion for solving problems that will define the 2026 technological landscape